Genome-wide association study for behavior, type traits, and muscular development in Charolais beef cattle1

2016 ◽  
Vol 94 (6) ◽  
pp. 2307-2316 ◽  
Author(s):  
A. Vallée ◽  
J. Daures ◽  
J. A. M. van Arendonk ◽  
H. Bovenhuis
2020 ◽  
Vol 103 (2) ◽  
pp. 1642-1650
Author(s):  
Jessica Lorena Gonzalez Guzman ◽  
Sirlene Fernandes Lázaro ◽  
André Vieira do Nascimento ◽  
Daniel Jordan de Abreu Santos ◽  
Diercles Francisco Cardoso ◽  
...  

Biology Open ◽  
2021 ◽  
Vol 10 (5) ◽  
Author(s):  
Caiye Zhu ◽  
Na Li ◽  
Heping Cheng ◽  
Youji Ma

ABSTRACT Chinese indigenous sheep can be classified into three types based on tail morphology: fat-tailed, fat-rumped, and thin-tailed sheep, of which the typical breeds are large-tailed Han sheep, Altay sheep, and Tibetan sheep, respectively. To unravel the molecular genetic basis underlying the phenotypic differences among Chinese indigenous sheep with these three different tail types, we used ovine high-density 600K single nucleotide polymorphism (SNP) arrays to detect genome-wide associations, and performed general linear model analysis to identify candidate genes, using genotyping technology to validate the candidate genes. Tail type is an important economic trait in sheep. However, the candidate genes associated with tail type are not known. The objective of this study was to identify SNP markers, genes, and chromosomal regions related to tail traits. We performed a genome-wide association study (GWAS) using data from 40 large-tailed Han sheep, 40 Altay sheep (cases) and 40 Tibetan sheep (controls). A total of 31 significant (P<0.05) SNPs associated with tail-type traits were detected. For significant SNPs' loci, we determined their physical location and performed a screening of candidate genes within each region. By combining information from previously reported and annotated biological functional genes, we identified SPAG17, Tbx15, VRTN, NPC2, BMP2 and PDGFD as the most promising candidate genes for tail-type traits. Based on the above identified candidate genes for tail-type traits, BMP2 and PDGFD genes were selected to investigate the relationship between SNPs within the tails in the Altay and Tibetan populations. rs119 T>C in exon1 of the BMP2 gene and one SNP in exon4 (rs69 C>A) of the PDGFD gene were detected. rs119 was of the TT genotype in Altay sheep, while it was of the CC genotype in Tibetan sheep. On rs69 of the PDGFD gene, Altay sheep presented with the CC genotype; however, Tibetan sheep presented with the AA genotype.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jianliang Liu ◽  
Yao Bao ◽  
Yuming Zhong ◽  
Qin Wang ◽  
Huifan Liu

Abstract Background The top of the olecranon honey peach (Prunus persica L.) fruit appears similar to an eagle’s beak. In this study, a single olecranon honey peach with a round-type fruit was observed in our fruit orchard. To explore the genetic mechanism of olecranon formation, we performed full-length transcriptome sequencing analysis of olecranon and round peaches as well as a genome-wide association study of the association of olecranon-type trait loci. Results The gene locus was 26,924,482 base pairs in NC_034014.1. Transcriptome sequencing showed that the clean sequencing data of each sample reached 7.10GB, with 14,360 genes and 23,167 transcripts expressed in both the olecranon honey peach and round peach. Among the 11 differentially expressed genes selected as candidate genes, six were highly expressed in olecranon peach and named as LOC18775282, LOC18772209, LOC18773929, LOC18772013, LOC18773401, and ONT.13798.5. Five genes were highly expressed in round peach and named as LOC18773079, LOC18773525, LOC18773067, LOC18775244, and LOC18772236. Notably, ONT.13798.5 was not previously identified. The genes were within 1 Mb up- or down-stream of the main genome-wide association study locus for olecranon-type traits. Conclusions This study revealed loci associated with olecranon and provides useful information for analysis and breeding of olecranon honey peach.


2009 ◽  
Vol 42 (05) ◽  
Author(s):  
B Konte ◽  
I Giegling ◽  
AM Hartmann ◽  
H Konnerth ◽  
P Muglia ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1701-P
Author(s):  
LAUREN E. WEDEKIND ◽  
WEN-CHI HSUEH ◽  
SAYUKO KOBES ◽  
MUIDEEN T. OLAIYA ◽  
WILLIAM C. KNOWLER ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1703-P ◽  
Author(s):  
SHYLAJA SRINIVASAN ◽  
JENNIFER TODD ◽  
LING CHEN ◽  
JASMIN DIVERS ◽  
SAM GIDDING ◽  
...  

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